With the
November 2018 release of Qlik Sense, Qlik
has introduced new machine learning (ML)
capabilities into its cognitive engine and
platform. Precedent-based machine learning
allows the Qlik cognitive engine to get
smarter over time, continually learning from
user interaction and feedback as well as
other sources. Qlik is the first analytics
company to bring AI and ML capabilities
together with human intuition in a way that
truly augments the user’s power to discover.

According to Gartner, Inc., “A new paradigm
— augmented analytics — is rapidly gaining
traction. Central to this development is the
use of ML automation/AI techniques to
augment human intelligence and contextual
awareness, and to transform data management,
analytics and BI as well as many aspects of
data science and ML/AI model development and
consumption.”*

Qlik’s new machine learning capabilities
will initially be utilized in Insight
Advisor, which debuted as part of the June
2018 Qlik Sense Enterprise release. Insight
Advisor auto-generates and suggests the best
analytics and insights to explore based on
the overall data set and a user’s search
criteria, making insight suggestions
increasingly relevant and valuable as the
machine learns from the user’s analytics
interactions. Users can directly train the
machine by manually creating analytics,
altering what the machine suggests, and
providing direct feedback. The cognitive
engine also learns from additional governed
and trusted sources such as business rule
definitions in global libraries and Qlik
artifacts.

“More and more of our clients are asking for
concrete use cases where they can leverage
artificial intelligence,” said Moritz
Schieder, Visual Analytics Practice Lead for
Deloitte Consulting. “Qlik’s augmented
intelligence approach is a great example of
how to use machine learning to even better
bridge the gap between data and the human
decision maker by supporting data
preparation tasks, choosing the right types
of visualizations, and suggesting insights
to the user.”

“Enterprises need their
analytics partners to deliver innovation that drives user
intelligence and improves their ability to more easily get
value from data,” said Elif Tutuk, Director of Research at
Qlik. “Our extensive investment in AI and machine learning
is a game changer for users. It expands their ability to
easily move through multiple levels of data exploration with
confidence, knowing that the system is learning right
alongside them, and that each new insight makes them smarter
and can lead to new opportunities.”

Qlik’s AI and ML
capabilities are truly unique because they work directly
with Qlik’s associative engine, combining the power of AI
with human intuition. Because the associative engine is
aware of a user’s context (selection state) at each step in
the exploratory process and knows all the data that is
associated and unrelated to that context, this is factored
into machine driven analysis and insight suggestions to make
them more relevant. It’s like giving the user “peripheral
vision” that guides them to hidden insights and helps them
see the previously unseen. Thus, Qlik delivers the power of
AI2, whereby both machine and human become
increasingly empowered. Associative Indexing combined with
Augmented Intelligence = AI2.